Answering the question, "is our population health program successful?" is difficult. Today, a group of over 60 provider, payer, and vendor leaders gathered to lay the groundwork needed to answer those questions. "One man's wasteful healthcare spending is another man's main revenue stream." This quote, by Shawn Stinson from Blue Cross Blue Shield, stuck out in my mind as I sat listening to him in a conference room in downtown Salt Lake City. He spoke about population health, and how we can drive toward better outcomes.
The Centers for Medicare and Medicaid Services has launched a new contest it hopes will speed the development of new artificial intelligence technologies that can better predict health outcomes and boost quality of care. WHY IT MATTERS CMS says the Artificial Intelligence Health Outcomes Challenge – announced by the agency on Wednesday, in partnership with American Academy of Family Physicians and the Laura and John Arnold Foundation – seeks to uncover and "unleash" new and innovative tools to help with the push toward value-based care. To do that, CMS is calling on developers from all industries to create new predictive AI applications to help providers participating in CMS Innovation Center models to deliver better care and make quality measures more impactful. "The Artificial Intelligence Health Outcomes Challenge is a three stage competition that will begin with the Launch Stage, in which participants will submit an application at ai.cms.gov," "Up to 20 participants will be selected to participate in Stage 1 of the Challenge. We anticipate that more information about Stage 1 and Stage 2 will be announced later this year."
Paul Young, director of Memphis' Division of Housing and Community Development, says working with Le Bonheur through the regional Healthy Homes Partnership will "make it simple for the person and the public to figure out this maze of programs and initiatives so that they can get the support and the help that they need." In the future, he hopes the organizations will work together to identify areas with high asthma prevalence and then concentrate combined resources there, maximizing the impact for the families they serve.
How do I reduce the effort in the IoT work to be done to get problems solved? How can I ensure that plans of action include every IoT task and that every IoT outcome is in place? How will I save time investigating strategic and tactical options and ensuring IoT opportunity costs are low? How can I deliver tailored IoT advise instantly with structured going-forward plans?